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AI governance
The laws, rules, standards, and oversight that guide how AI is developed and used. Because it varies widely between countries and is often slower than the technology, governance of AI is uneven and incomplete.
Algorithmic accountability
The principle that the people and organisations who build and deploy an algorithm are answerable for its effects.
Algorithmic bias
A systematic error in an algorithm that produces unfair outcomes, often by favouring one group over another.
Artificial Intelligence
A field of computer science dedicated to building systems that can replicate human intelligence and answer complex queries.
Automation
The use of technology to perform tasks without human intervention.
Black box
A system whose internal workings cannot be easily inspected or explained. Many neural networks are black boxes: they can be accurate while no one can fully explain how they reached a particular output.
Data bias
A systematic skew in a dataset, from how it was collected or what it left out, that makes any system built on it treat some groups unfairly.